| Paper Abstract and Keywords |
| Presentation |
2021-03-05 14:25
Semantic Segmentation based on MobileNet Extended with FPN Yuki Sugimoto, Masaki Aono (TUT) PRMU2020-91 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Semantic Segmentation is attracting attention in autonomous driving, but high-precision models require a huge amount of calculations for segmentation. Therefore, for the purpose of reducing the weight of the model, we propose an architecture in which MobileNet, which is a lightweight and highly accurate CNN, is used for the Backbone Module and RFPN (Reshaped Feature Pyramid Network) is added between the Backbone Module and the Head Module. In order to realize a model with excellent accuracy and FLOPs(FLoating-point OPerations), we conducted experiments in which various parameters of RFPN were changed. As a result, it was shown that the proposed method can output with relatively high accuracy with a small FLOPs. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Semantic Segmentation / 深層学習 / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 409, PRMU2020-91, pp. 127-132, March 2021. |
| Paper # |
PRMU2020-91 |
| Date of Issue |
2021-02-25 (PRMU) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
PRMU2020-91 |
| Conference Information |
| Committee |
PRMU IPSJ-CVIM |
| Conference Date |
2021-03-04 - 2021-03-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Computer Vision and Pattern Recognition for specific environment |
| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2021-03-PRMU-CVIM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Semantic Segmentation based on MobileNet Extended with FPN |
| Sub Title (in English) |
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Semantic Segmentation |
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深層学習 |
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| 1st Author's Name |
Yuki Sugimoto |
| 1st Author's Affiliation |
Toyohashi University of Technology (TUT) |
| 2nd Author's Name |
Masaki Aono |
| 2nd Author's Affiliation |
Toyohashi University of Technology (TUT) |
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| Speaker |
Author-1 |
| Date Time |
2021-03-05 14:25:00 |
| Presentation Time |
15 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2020-91 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.409 |
| Page |
pp.127-132 |
| #Pages |
6 |
| Date of Issue |
2021-02-25 (PRMU) |